ApacheOne / Nucleus-Image-NVFP4_mixed

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Total runs: 12
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7-day runs: 3
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Model's Last Updated: April 17 2026

Introduction of Nucleus-Image-NVFP4_mixed

Model Details of Nucleus-Image-NVFP4_mixed

Not sure of the best way to even run the base model yet, Should work where you offload the dense layers into ram and only leave the active layers in vram.

UNTESTED

I cant test this model myself as its too big.

Nucleus-Image_noreshape2Dweightonly.safetensors This model has only the 2D non-MoE expert layers quantized to nvfp4 which should give speed to the active layers in vram without loss of the dense layers.

I will try testing this model once more support comes out for the loading methods of the model.

Nucleus-Image_transformer_aggressive_nvfp4.safetensors This model is every layer quanted just for context reasons of what is possblie. The dense layers might be sensitive to the quant.

Runs of ApacheOne Nucleus-Image-NVFP4_mixed on huggingface.co

12
Total runs
3
24-hour runs
3
3-day runs
3
7-day runs
8
30-day runs

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Nucleus-Image-NVFP4_mixed huggingface.co is an AI model on huggingface.co that provides Nucleus-Image-NVFP4_mixed's model effect (), which can be used instantly with this ApacheOne Nucleus-Image-NVFP4_mixed model. huggingface.co supports a free trial of the Nucleus-Image-NVFP4_mixed model, and also provides paid use of the Nucleus-Image-NVFP4_mixed. Support call Nucleus-Image-NVFP4_mixed model through api, including Node.js, Python, http.

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ApacheOne Nucleus-Image-NVFP4_mixed online free

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Nucleus-Image-NVFP4_mixed install

Nucleus-Image-NVFP4_mixed is an open source model from GitHub that offers a free installation service, and any user can find Nucleus-Image-NVFP4_mixed on GitHub to install. At the same time, huggingface.co provides the effect of Nucleus-Image-NVFP4_mixed install, users can directly use Nucleus-Image-NVFP4_mixed installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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